Abstract

soft Computing is an emerging field that consists ofcomplementary elements of fuzzy logic, neural computing andevolutionary computation. Soft computing techniques have foundwide applications. One of the most important applications is edgedetection for image segmentation. The process of partitioning adigital image into multiple regions or sets of pixels is called imagesegmentation. Edge is a boundary between two homogeneousregions. Edge detection refers to the process of identifying andlocating sharp discontinuities in an image. In this paper, the mainaim is to survey the theory of edge detection for image segmentationusing soft computing approach based on the Fuzzy logic, GeneticAlgorithm and Neural Network.

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